Fast cone-beam CT image reconstruction using GPU hardware
Fast cone-beam CT image reconstruction using GPU hardware
复制标题
DOI：
--
复制
发表时间：
2008
影响因子：
3
通讯作者：
G. Yan;Jie Tian;Shouping Zhu;Yakang Dai;C. Qin
中科院分区：
文献类型：
--
作者：
G. Yan;Jie Tian;Shouping Zhu;Yakang Dai;C. Qin
三维计算机断层扫描（CT）重建是计算要求很高的。为了加快重建速度，人们使用了专用集成电路（ASIC）或现场可编程门阵列（FPGA），但它们价格昂贵，不灵活，不易升级。现代图形处理器（GPU）以其可编程特性改善了这种情况，成为三维CT重建的强大而灵活的工具之一。在本文中，我们实现Feldkamp-Davis-Kress（FDK）算法在商品GPU上使用的加速方案。在该方案中，两种技术的发展和结合。一种是循环渲染到纹理（CRTT），节省了复制时间，另一种是z轴对称和多渲染目标（MRT）的组合，减少了要重建的切片和投影视图之间的几何映射的计算成本。我们的算法在单个NVIDIA GeForce 8800 GTX卡上从360个大小为512 x 512的视图中重建5123体积约5.2s。
Three dimension Computed Tomography (CT) reconstruction is computationally demanding. To accelerate the speed of reconstruction, Application Specific Integrated Circuit (ASIC) or Field Programmable Gate Array (FPGA) has been used, but they are expensive, inflexible and not easy to upgrade. The modern Graphics Processing Unit (GPU) with its programmable features improves this situation and becomes one of the powerful and flexible tools for 3D CT reconstruction. In this paper, we implement Feldkamp-Davis-Kress (FDK) algorithm on commodity GPU using an acceleration scheme. In the scheme, two techniques are developed and combined. One is cyclic render-to-texture (CRTT) which saves the copy time, and the other is the combination of z-axis symmetry and multiple render targets (MRTs), which reduces the computational cost on the geometry mapping between slices to be reconstructed and projection views. Our algorithm performs reconstruction of a 5123 volume from 360 views of the size 512 x 512 about 5.2s on a single NVIDIA GeForce 8800GTX card.